ISG Research

More than half of enterprises say AI governance is a major concern that, if not addressed, could limit the deployment and potential value of large language models (LLMs) through 2027, according to research from global AI-centered technology research and advisory firm Information Services Group (ISG) (Nasdaq: III).

Strategies for enterprise AI adoption, governance and competitive advantage will be explored at the ISG AI Impact Summit, June 3–4 at Hotel Commonwealth in Boston. Leaders from Bread Financial, Brink’s, Polaris, U.S. Bank, Moderna, Takeda, Carnival, Wayfair, Pfizer and KeyBank will join the event to discuss their organization’s approach to leveraging AI for business value.

“ISG research finds better coordination and governance are the top enterprise priorities for maximizing the value of AI initiatives,” said David Menninger, executive director of ISG Software Research and host of the ISG AI Impact Summit. “Understanding the technology and acting now to address foundational requirements should be central to every enterprise strategy, to keep governance concerns from limiting the deployment and realized value of AI and machine learning models over the next two years.”

Gaurav Kapil, CISO of Bread Financial, will address AI security and governance in the first keynote presentation at the event, “Leveraging AI in Cyber: How CISOs Are Transforming AI Security into Business Advantage,” drawing from his board-level experiences to share practical approaches to position AI security as an enterprise-wide competitive advantage driver.

Additional sessions on the first day of the two-day event include, “Modernizing Data Architecture for AI Success: Lessons Learned,” with Mruna Asoori, global VP of Data, AI and Architecture for Brink's Inc., and “From Pilot to Production: Scaling AI Across Business Units,” with Vishal Brown, global digital offering strategy & GTM leader, NTT DATA; Anna Carr, product owner, AI Innovation, Polaris Inc.; Dhivya Nagasubramanian, lead AI solutions architect vice president, U.S. Bank, and Susana Selles Valls, associate director, AI & Automation, Moderna.

“Data is the foundation of all AI, GenAI and agentic systems, especially those used in business applications that provide real productivity gains,” Menninger said. “AI, like analytics, must lead to action. As AI continues to evolve, it must begin translating data into effective strategies to drive tangible results and streamline processes in fields ranging from healthcare to supply chain management.”